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The MSc Data Science at the University of Sheffield offers a deep dive into the theory and practical application of data science across organizational contexts. The program is ideal for graduates from any discipline seeking expertise in data analysis, data mining, visualisation, and ethical data management using industry-standard software and real-world case studies.
Ranking:
The School of Information, Journalism and Communication is ranked number one in the world for library and information management (QS World University Rankings by Subject 2025).
Course overview:
Core Modules:
Data Visualisation
Introduction to Data Science
Data Mining and AI
Data Analysis
Data and Society
Database Design
Research Methods and Dissertation Preparation
Dissertation
Optional Modules (choose 2): Information Governance and Ethics, Big Data Analytics, Business Intelligence, User-Centred Design and Human-Computer Interaction
Teaching methods: Teaching methods include lectures, seminars, tutorials, small-group work, and computer laboratory sessions. Students also engage in independent study, reading, and research throughout two 15-week semesters, followed by the dissertation period.
Assessments: Assessment is conducted through essays, report writing, oral presentations, in-class tests, group projects, and a 10,000–15,000-word dissertation. Many projects and dissertations can be completed in collaboration with industry partners for real-world problem-solving experience.
Computer laboratories and software tools: Students gain hands-on experience using R, Python, SPSS, Weka, Tableau/Spotfire, and KNIME.
Real-world datasets: Group and individual projects involve working with practical data scenarios and industry case studies.
Industry collaboration: Many projects and dissertations are completed in partnership with industry organizations.
Seminars and tutorials: Students regularly attend sessions with academic and industry experts.
Library and digital resources: Full access to the university’s extensive libraries and digital learning platforms.
Research-led teaching: Students benefit from instruction and supervision by experienced, research-active staff.
Networking opportunities: Events facilitate connections with alumni, employers, and sector professionals.
Workshops and career events: Practical sessions are offered to support employability and professional growth.
Interdisciplinary collaboration: Opportunities are provided to work across fields on joint projects and research topics.
Dissertation supervision: Dedicated one-to-one academic guidance supports students throughout their final project.
Graduate employment: Graduates secure roles in leading organizations such as Deloitte, Huawei, HMRC, Santander, and the National Institute for Health Research, working across IT, finance, government, and research.
Industry links: The program’s strong professional connections and global reputation support excellent job prospects.
Further study: Students can pursue a PhD in Data Science, Information Management, or related fields.
Advanced MSc programs: Options include Artificial Intelligence, Business Analytics, or Human-Computer Interaction, building on the interdisciplinary training from the MSc Data Science.
Part time studies availableIELTS: 6.5 (with 6 in each component)TOEFL iBT, Home Edition or Paper Edition: Overall score of 88 with a minimum of 19 in Listening, 20 in Reading, 22 in Speaking and 19 in WritingEntry requirements: Minimum 2:1 undergraduate honours degree in any subject.If you're an international student who does not meet the entry requirements for this course, you have the opportunity to apply for a pre-masters programme in Business, Social Sciences and Humanities at the University of Sheffield International College.Scholarships available Data ScientistData AnalystDevelopment EngineerMachine Learning EngineerMarket Data AnalystOptimisation AnalystProject ManagerService ConsultantBusiness Intelligence AnalystResearch Scientist
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The University of Sheffield
